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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Algorithms & Complexity | 25% | - Big O notation, time and space complexity - Recursion and iterative structures - Algorithm design and analysis - Sorting and searching algorithms |
| Topic 2: Data Structures | 20% | - Data storage and retrieval principles - Primitive and composite data types - Trees, graphs, hash tables - Arrays, linked lists, stacks, queues |
| Topic 3: Discrete Mathematics & Logic | 25% | - Proof techniques and mathematical induction - Boolean algebra and digital logic - Propositional and predicate logic - Set theory, relations, functions |
| Topic 4: Computer Architecture & Organization | 15% | - Von Neumann architecture - CPU, memory, I/O systems - Memory hierarchy and performance - Instruction sets and execution cycles |
| Topic 5: Software Engineering & Programming Basics | 15% | - Software development lifecycle - Basic syntax and control structures - Testing and debugging fundamentals - Programming paradigms |
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NEW QUESTION # 19
What is the correct way to convert an integer to a string in Python?
Answer: C
Explanation:
Python provides built-in type conversion functions that construct a value of a target type from a supplied object when possible. To convert an integer to a string, Python uses the constructor function str(). For example, str(42) produces the string "42". This operation is fundamental in programming textbooks because it enables tasks like formatting output, concatenating numbers into messages, building file names, or preparing numeric values for text-based storage and transmission.
Python distinguishes clearly between numeric types (int, float) and text type (str). You cannot concatenate an integer directly with a string (e.g., "Age: " + 30 raises a TypeError) because the types are different. Using str (30) resolves this by converting the integer into its string representation: "Age: " + str(30) becomes valid.
Modern Python commonly uses f-strings (f"Age: {30}"), which perform conversion automatically, but str() remains the canonical and explicit method.
Options A, B, and C are not standard Python built-ins for conversion. While some libraries define helper functions with similar names, the language's standard approach is str(...). Textbooks also highlight that str() is not limited to integers: it can convert many objects into readable string representations, often by invoking the object's __str__ method. This ties conversion to Python's object model and supports consistent display and logging across programs.
NEW QUESTION # 20
Which line of code below contains an error in the use of NumPy?
Answer: D
Explanation:
The NumPy library provides arrays and efficient numerical operations, including sorting. However, NumPy doesnotprovide a function named np.quicksort. That is the API misuse in the code, making option A the correct answer. In NumPy, sorting is commonly performed using np.sort(arr) (which returns a sorted copy) or arr.sort() (which sorts in-place). If a specific algorithm is desired, NumPy exposes it through the kind parameter, such as np.sort(arr, kind="quicksort"), kind="mergesort", or kind="heapsort". Textbooks present this as a typical design: a single sorting interface with selectable strategies, rather than separate top-level functions per algorithm name.
Option C is correct and necessary: import numpy as np is standard convention. Option B is also correct:
printing a variable is valid assuming it exists. Option D, written as arr = np.array([3, 2, 0, 1]), is valid NumPy usage for constructing a 1D array from a Python list.
A subtle point taught in scientific computing courses is that library APIs matter as much as syntax: you can write perfectly valid Python that still fails if you call a function that the library does not define. In this case, the fix is to replace np.quicksort(arr) with np.sort(arr) or np.sort(arr, kind="quicksort") depending on whether you need to specify the algorithm.
NEW QUESTION # 21
Which method converts the default smallest-to-largest index order of a list to instead be the opposite?
Answer: A
Explanation:
Python lists maintain an order, and sometimes you need to reverse that order so the last element becomes first and the first becomes last. The standard list method for reversing the elementsin placeis reverse(). For example, if nums = [1, 2, 3, 4], then nums.reverse() mutates the list so it becomes [4, 3, 2, 1]. This is a built-in operation taught in introductory programming texts because it is efficient and conceptually simple: it does not create a new list unless you explicitly copy the data.
It is important to distinguish reversing from sorting. Reversing changes the sequence order as-is, while sorting rearranges elements according to comparisons. The question refers to converting the index order to the opposite, which is reversing. If you wanted descendingsortedorder, you would typically use sort (reverse=True) or sorted(nums, reverse=True). But the direct method that reverses the list's order is reverse().
The other options are not standard Python list methods. sortDescending(), flip(), and invert() are not part of Python's built-in list API. Textbooks emphasize learning the correct method names because Python's standard library provides a consistent, widely used interface across programs. Thus, reverse() is the correct answer for reversing the index order of a list.
NEW QUESTION # 22
What Python code would return the value 40 from np_2d, where np_2d = np.array([[1, 2, 3, 4], [10, 20, 30,
40]])?
Answer: C
Explanation:
In a 2D NumPy array, indexing is written as array[row_index, column_index] using zero-based indices. The array np_2d = np.array([[1, 2, 3, 4], [10, 20, 30, 40]]) has two rows (indices 0 and 1) and four columns (indices 0, 1, 2, 3). The value 40 is located in the second row and the fourth column. Using zero-based indexing, that corresponds to row index 1 and column index 3. Therefore, np_2d[1, 3] returns 40.
Option A attempts to access row 3, which does not exist and would raise an IndexError. Option C attempts to access column 4 in row 0, but valid column indices are only 0 through 3, so it would also error. Option D likewise refers to a non-existent row 4. Only option B uses valid indices and points to the correct location.
Textbooks emphasize multi-dimensional indexing because it underlies matrix operations, dataset manipulation, and feature extraction in data science. Correctly interpreting rows and columns is essential when rows represent observations (like people) and columns represent attributes (like age, weight, height). This question tests precise control over row/column addressing, which prevents subtle bugs in numerical analysis.
NEW QUESTION # 23
What is the component of the operating system that manages core system resources but allows no user access?
Answer: A
Explanation:
Thekernelis the central component of an operating system responsible for managing core system resources. It controls CPU scheduling, memory management, process creation and termination, device I/O coordination, and system calls-the controlled interface through which user programs request services. In operating systems textbooks, the kernel is described as running in a privileged mode (often called kernel mode or supervisor mode), which restricts direct user access for security and stability. User programs typically run in user mode and cannot directly manipulate hardware or critical OS structures; instead, they must request operations via system calls, which the kernel validates and executes.
This separation prevents accidental or malicious actions from crashing the entire system or compromising other processes. For example, a user application cannot directly write to arbitrary memory addresses or reprogram devices; the kernel mediates access and enforces protection boundaries. This model is foundational to modern OS design and underpins features like virtual memory, access control, and multitasking.
File Explorer and the user interface layer are user-facing components that provide interaction and file browsing; they are not the privileged core resource manager. "Device driver manager" is not typically the name of a single OS component; while drivers and driver subsystems exist, they operate under kernel control and are part of the kernel or closely integrated with it.
Therefore, the OS component that manages core resources while disallowing direct user access is the kernel.
NEW QUESTION # 24
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